Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2283 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 1147739 (C4 (Web Text))

Max Activating Token Index: 34

Text #1

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Max Act: 0.0359. Min Act: -0.0002

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Max Activating Token Index: 145

Text #2

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Max Act: 0.0358. Min Act: -0.0002

Data Index: 1187248 (C4 (Web Text))

Max Activating Token Index: 18

Text #3

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Max Act: 0.0357. Min Act: -0.0002

Data Index: 45126 (C4 (Web Text))

Max Activating Token Index: 90

Text #4

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1186826 (C4 (Web Text))

Max Activating Token Index: 409

Text #5

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Max Act: 0.0350. Min Act: -0.0002

Data Index: 791 (C4 (Web Text))

Max Activating Token Index: 858

Text #6

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Max Activating Token Index: 856

Text #7

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Max Activating Token Index: 29

Text #8

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Max Activating Token Index: 947

Text #9

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Max Activating Token Index: 793

Text #10

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Max Activating Token Index: 883

Text #11

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Data Index: 247952 (C4 (Web Text))

Max Activating Token Index: 549

Text #12

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Max Activating Token Index: 994

Text #13

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Max Activating Token Index: 21

Text #14

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Max Activating Token Index: 50

Text #15

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Max Activating Token Index: 908

Text #16

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Max Activating Token Index: 753

Text #17

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Max Activating Token Index: 787

Text #18

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Max Activating Token Index: 823

Text #19

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Max Act: 0.0337. Min Act: -0.0002

Data Index: 991048 (C4 (Web Text))

Max Activating Token Index: 354